Differential Histogram Equalization Based Image Simplification

Wu, You; Shih, Frank Y.; Wu, Yih-Tyng

doi:10.1109/eit.2006.252185

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Traditional methods are based on HE [1] theory and Retinex theory. HE-based methods perform light enhancement through expanding the dynamic range of an image.…”

Section: Traditional Methods Of Low-light Image Enhancedmentioning

confidence: 99%

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An attention mechanism and GAN based low-light image enhancement method

Hu¹,

Li²

2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

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The low-light image has degradation problems such as low contrast, noise artifact, loss of details and color distortion, which cause poor visual perception quality of the image, and reduce the accuracy of subsequent image recognition, classification, and detection tasks. To solve the above problems, a low-light image enhancement method is proposed, which combines attention mechanism and Generative Adversarial Networks (GAN). A generator network model with convolutional attention module (CBAM) and residual block is designed. Three loss functions of content, color and texture are proposed for image features. The experiment is compared with the four advanced methods on LOL dataset. In this dataset, the experimental results are at least 5% better than those of other methods. The experimental results show that the saliency model proposed in this paper can effectively enhance the low-light image and obtain a good visual effect.

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“…Traditional methods are based on HE [1] theory and Retinex theory. HE-based methods perform light enhancement through expanding the dynamic range of an image.…”

Section: Traditional Methods Of Low-light Image Enhancedmentioning

confidence: 99%

“…The core idea of GAN is a zero-sum game, where the generator learns the distribution form of real images from random noisy data and generates pseudo-images like the real images. The GAN method can be mathematically described above by the following Eq (1).…”

Section: Ganmentioning

confidence: 99%

An attention mechanism and GAN based low-light image enhancement method

Hu¹,

Li²

2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

View full text Add to dashboard Cite

show abstract

“…Conventional methods for low-light image enhancement primarily rely on image priors or physical models from other tasks. For instance, histogram equalization is one such method that alters the overall image contrast through a single function transformation [1]. Similarly, gamma correction is employed [2].…”

Section: Introductionmentioning

confidence: 99%

A low-light-level image enhancement algorithm combining Retinex and Transformer

Zhao,

2024

International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024)

Differential Histogram Equalization Based Image Simplification

Cited by 4 publications

References 16 publications

An attention mechanism and GAN based low-light image enhancement method

An attention mechanism and GAN based low-light image enhancement method

A low-light-level image enhancement algorithm combining Retinex and Transformer

Image Segmentation

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